binarybeach/bb-plane-fork
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

fix: analytics export and send month and year when dimension in date (#1039)

Browse source 
* fix: send month and year when dimension in date

* fix: export csv email

* fix: export for segment and fix segment for date values
This commit is contained in:
pablohashescobar 2023-05-15 11:37:07 +05:30 • committed by GitHub
parent 9fdc56db0f
commit 63075a6a0d
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
2 changed files with 44 additions and 26 deletions
Download patch file Download diff file Expand all files Collapse all files

46
apiserver/plane/utils/analytics_plot.py
View file

@ -3,13 +3,16 @@ from itertools import groupby
# Django import
from django.db import models
from django.db.models import Count, DateField, F, Sum, Value, Case, When, Q
from django.db.models.functions import Cast, Concat, Coalesce
from django.db.models import Count, F, Sum, Value, Case, When, CharField
from django.db.models.functions import Coalesce, ExtractMonth, ExtractYear, Concat
def build_graph_plot(queryset, x_axis, y_axis, segment=None):
if x_axis in ["created_at", "completed_at"]:
queryset = queryset.annotate(dimension=Cast(x_axis, DateField()))
if x_axis in ["created_at", "start_date", "target_date", "completed_at"]:
year = ExtractYear(x_axis)
month = ExtractMonth(x_axis)
dimension = Concat(year, Value("-"), month, output_field=CharField())
queryset = queryset.annotate(dimension=dimension)
x_axis = "dimension"
else:
queryset = queryset.annotate(dimension=F(x_axis))
@ -18,34 +21,41 @@ def build_graph_plot(queryset, x_axis, y_axis, segment=None):
if x_axis in ["created_at", "start_date", "target_date", "completed_at"]:
queryset = queryset.exclude(x_axis__is_null=True)
if segment in ["created_at", "start_date", "target_date", "completed_at"]:
year = ExtractYear(segment)
month = ExtractMonth(segment)
dimension = Concat(year, Value("-"), month, output_field=CharField())
queryset = queryset.annotate(segmented=dimension)
segment = "segmented"
queryset = queryset.values(x_axis)
# Group queryset by x_axis field
if y_axis == "issue_count":
queryset = (
queryset.annotate(
is_null=Case(
When(dimension__isnull=True, then=Value("None")),
default=Value("not_null"),
output_field=models.CharField(max_length=8),
),
dimension_ex=Coalesce("dimension", Value("null")),
)
.values("dimension")
)
queryset = queryset.annotate(
is_null=Case(
When(dimension__isnull=True, then=Value("None")),
default=Value("not_null"),
output_field=models.CharField(max_length=8),
),
dimension_ex=Coalesce("dimension", Value("null")),
).values("dimension")
if segment:
queryset = queryset.annotate(segment=F(segment)).values("dimension", "segment")
queryset = queryset.annotate(segment=F(segment)).values(
"dimension", "segment"
)
else:
queryset = queryset.values("dimension")
queryset = queryset.annotate(count=Count("*")).order_by("dimension")
if y_axis == "effort":
queryset = queryset.annotate(effort=Sum("estimate_point")).order_by(x_axis)
if segment:
queryset = queryset.annotate(segment=F(segment)).values("dimension", "segment", "effort")
queryset = queryset.annotate(segment=F(segment)).values(
"dimension", "segment", "effort"
)
else:
queryset = queryset.values("dimension", "effort")